Set-Membership Filtering-Based Leader-Follower Synchronization of Discrete-time Linear Multi-Agent Systems
Diganta Bhattacharjee, Kamesh Subbarao

TL;DR
This paper introduces a set-membership filtering approach for leader-follower synchronization in discrete-time linear multi-agent systems with unknown initial states and bounded disturbances, ensuring bounded disagreement errors.
Contribution
It proposes a novel set-membership filter-based control protocol that handles uncertainties and achieves synchronization with bounded errors in multi-agent systems.
Findings
The proposed filter effectively estimates agent states under disturbances.
Synchronization errors are proven to be bounded and decrease monotonically.
Simulations demonstrate the protocol's effectiveness in practical scenarios.
Abstract
In this paper, a set-membership filtering-based leader-follower synchronization protocol for discrete-time linear multi-agent systems is proposed wherein the aim is to make the agents synchronize with a leader. The agents, governed by identical high-order discrete-time linear dynamics, are subject to unknown-but-bounded input disturbances. In terms of its own state information, each agent only has access to measured outputs that are corrupted with unknown-but-bounded output disturbances. Also, the initial states of the agents are unknown. To deal with all these unknowns (or uncertainties), a set-membership filter (or state estimator), having the `correction-prediction' form of a standard Kalman filter, is formulated. We consider each agent to be equipped with this filter that estimates the state of the agent and consider the agents to be able to share the state estimate information with…
Peer Reviews
No public reviews on file for this paper yet. If you reviewed it on a platform where reviews are public (OpenReview, ICLR, NeurIPS, ICML), you can paste yours below so the community can read it here.
Videos
No videos yet. Explain this paper in a talk, walkthrough, or lecture? Add one.
